Advanced Topic in Pipeline: Pipeline scheduling

Size: px
Start display at page:

Download "Advanced Topic in Pipeline: Pipeline scheduling"

Transcription

1 Contents dvanced Topic in Pipeline: Pipeline scheduling Linear Pipelines Nonlinear pipelines Instruction Pipelines rithmetic Operations esign of Multifunction Pipeline Linear Pipeline Processing Stages are linearly connected Perform fixed function Synchronous Pipeline Clocked latches between Stage i and Stage i+ qual delays in all stages synchronous Pipeline (Handshaking) No latches between stage i and i+ Special signals are required for acknowledgement Quick Review: loating Point We need a way to represent numbers with fractions, e.g.,. very small numbers (in absolute value), e.g., very large numbers (in absolute value), e.g.,. * 0 Representation: scientific: sign, exponent, significand form: ( ) sign * significand * exponent..g., * 00 more bits for significand gives more accuracy more bits for exponent increases range binary point if significand<0 two (= ten ) then number is normalized, except for number 0 which is normalized to significand 0.g., * 00 =.0000 * 0 (normalized)

2 I loating-point Standard I floating point standard: single precision: one word double precision: two words loating Point ddition lgorithm: Start. Compare the exponents of the two numbers. Shift the smaller number to the right until its exponent would match the larger exponent. dd the significands sign bits 0 to 8-bit exponent bits to 0 -bit significand. Normalize the sum, either shifting right and incrementing the exponent or shifting left and decrementing the exponent sign bits 0 to 0 -bit exponent bits 9 to 0 upper 0 bits of -bit significand bits to 0 Overflow or underflow? No es. Round the significand to the appropriate number of bits xception lower bits of -bit significand No Still normalized? es one loating Point ddition Sign xponent Significand Sign xponent Significand loating Point ddition Hardware: Small LU xponent difference Compare exponents Control Shift right Shift smaller number right ig LU dd 0 Increment or decrement 0 Shift left or right Normalize Rounding hardware Round Sign xponent Significand

3 Latches Reservation Table Time (clock cycle) ach row corresponds to a stage in the pipeline. L Slowest stage determines delay qual delays clock period L ach column corresponds to a pipeline cycle. n at the intersection of the i th row and j th column indicates that stage i is busy at cycle j. S tasks on stages Non Linear Pipelines Time Variable functions eed-orward eedback S

4 stages & functions Reservation Tables for & Linear Instruction Pipelines Pipeline Instruction xecution ssume the following instruction execution phases: etch () ecode () Operand etch (O) xecute () Write results (W) O I I I I W I

5 ependencies ata ependency (Operand is not ready yet) -- dd R, R, R -- Sub R, R, R ata ependency Instruction ependency (ranching) Will that Cause a Problem? O W Solutions STLL orwarding Write and Read in one cycle. Instruction ependency ranch O W

6 STLL Predict ranch taken Predict ranch not taken. Solutions loating Point Multiplication Inputs (Mantissa, xponenet ), (Mantissa, xponent ) dd the two exponents xponent-out Multiple the mantissas Normalize mantissa and adjust exponent Round the product mantissa to a single length mantissa. ou may adjust the exponent Linear Pipeline for floating-point multiplication Linear Pipeline for floating-point ddition dd xponents Multiply Mantissa Normalize Round dd xponents Partial Products ccumulator Normalize Round Subtract xponents Partial Shift dd Mantissa ind Leading Partial Shift Re normalize Round Re normalize

7 Combined dder and Multiplier Reservation Table for Multiply Partial Products xponents Subtract / C G H Partial Shift dd Mantissa ind Leading Partial Shift C Round Re normalize G H Reservation Table for ddition Nonlinear Pipeline esign C 8 9 Latency The number of clock cycles between two initiations of a pipeline Collision Resource Conflict orbidden Latencies Latencies that cause collisions G H

8 Nonlinear Pipeline esign Latency Sequence sequence of permissible latencies between successive task initiations Latency Cycle sequence that repeats the same subsequence Collision vector C = (C m, C m-,, C, C ), m <= n- n = number of column in reservation table C i = if latency i causes collision, 0 otherwise Mul Mul Collision (lunch after cycle) H G C Mul Mul Collision (lunch after cycles) H G C Mul Mul Collision (lunch after cycles) H G C

9 Collision Vector for Multiply after Multiply orbidden Latencies:, Collision vector ( ) Latency xample: Reservation for Maximum forbidden latency = m = xample: Reservation Tables for orbidden Latencies after after after after

10 after after Collision Vector after orbidden Latencies: {,,, } Collision Vector = ( 0 0 0)

11 Collision Vector HW ind the collision vector orbidden Latencies: {, } Collision Vector = ( 0 0) C Pipeline Control Pipeline Control Place collision vector (CV) in shift register (SR) If LS of CV in SR is - do not initiate an operation at that cycle - shift the CV right once - insert 0 at the MS lse - initiate an operation at that cycle - shift the CV right once - insert 0 at the MS - perform CV org + CV shift Stage Stage State xample + CV org CV shift State State Reduced state diagram

12 State iagram for Cycles Simple cycles each state appears only once (), (), (8), (, 8), (, 8), and (,8) * * 8 + Greedy Cycles simple cycles whose edges are all made with minimum latencies from their respective starting states (,8), () one of them is ML (Minimal verage Latency) verage latency for (,8) = (+8) / =. verage latency for () = / =

Chapter 03: Computer Arithmetic. Lesson 09: Arithmetic using floating point numbers

Chapter 03: Computer Arithmetic. Lesson 09: Arithmetic using floating point numbers Chapter 03: Computer Arithmetic Lesson 09: Arithmetic using floating point numbers Objective To understand arithmetic operations in case of floating point numbers 2 Multiplication of Floating Point Numbers

More information

Floating Point. The World is Not Just Integers. Programming languages support numbers with fraction

Floating Point. The World is Not Just Integers. Programming languages support numbers with fraction 1 Floating Point The World is Not Just Integers Programming languages support numbers with fraction Called floating-point numbers Examples: 3.14159265 (π) 2.71828 (e) 0.000000001 or 1.0 10 9 (seconds in

More information

Signed Multiplication Multiply the positives Negate result if signs of operand are different

Signed Multiplication Multiply the positives Negate result if signs of operand are different Another Improvement Save on space: Put multiplier in product saves on speed: only single shift needed Figure: Improved hardware for multiplication Signed Multiplication Multiply the positives Negate result

More information

Floating Point Arithmetic

Floating Point Arithmetic Floating Point Arithmetic CS 365 Floating-Point What can be represented in N bits? Unsigned 0 to 2 N 2s Complement -2 N-1 to 2 N-1-1 But, what about? very large numbers? 9,349,398,989,787,762,244,859,087,678

More information

FLOATING POINT NUMBERS

FLOATING POINT NUMBERS Exponential Notation FLOATING POINT NUMBERS Englander Ch. 5 The following are equivalent representations of 1,234 123,400.0 x 10-2 12,340.0 x 10-1 1,234.0 x 10 0 123.4 x 10 1 12.34 x 10 2 1.234 x 10 3

More information

Introduction. Chapter 4. Instruction Execution. CPU Overview. University of the District of Columbia 30 September, Chapter 4 The Processor 1

Introduction. Chapter 4. Instruction Execution. CPU Overview. University of the District of Columbia 30 September, Chapter 4 The Processor 1 Chapter 4 The Processor Introduction CPU performance factors Instruction count etermined by IS and compiler CPI and Cycle time etermined by CPU hardware We will examine two MIPS implementations simplified

More information

Divide: Paper & Pencil

Divide: Paper & Pencil Divide: Paper & Pencil 1001 Quotient Divisor 1000 1001010 Dividend -1000 10 101 1010 1000 10 Remainder See how big a number can be subtracted, creating quotient bit on each step Binary => 1 * divisor or

More information

Module 2: Computer Arithmetic

Module 2: Computer Arithmetic Module 2: Computer Arithmetic 1 B O O K : C O M P U T E R O R G A N I Z A T I O N A N D D E S I G N, 3 E D, D A V I D L. P A T T E R S O N A N D J O H N L. H A N N E S S Y, M O R G A N K A U F M A N N

More information

Number Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as:

Number Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as: N Number Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as: a n a a a The value of this number is given by: = a n Ka a a a a a

More information

Chapter 4. Operations on Data

Chapter 4. Operations on Data Chapter 4 Operations on Data 1 OBJECTIVES After reading this chapter, the reader should be able to: List the three categories of operations performed on data. Perform unary and binary logic operations

More information

Floating-point representations

Floating-point representations Lecture 10 Floating-point representations Methods of representing real numbers (1) 1. Fixed-point number system limited range and/or limited precision results must be scaled 100101010 1111010 100101010.1111010

More information

Floating-point representations

Floating-point representations Lecture 10 Floating-point representations Methods of representing real numbers (1) 1. Fixed-point number system limited range and/or limited precision results must be scaled 100101010 1111010 100101010.1111010

More information

CO Computer Architecture and Programming Languages CAPL. Lecture 15

CO Computer Architecture and Programming Languages CAPL. Lecture 15 CO20-320241 Computer Architecture and Programming Languages CAPL Lecture 15 Dr. Kinga Lipskoch Fall 2017 How to Compute a Binary Float Decimal fraction: 8.703125 Integral part: 8 1000 Fraction part: 0.703125

More information

Operations On Data CHAPTER 4. (Solutions to Odd-Numbered Problems) Review Questions

Operations On Data CHAPTER 4. (Solutions to Odd-Numbered Problems) Review Questions CHAPTER 4 Operations On Data (Solutions to Odd-Numbered Problems) Review Questions 1. Arithmetic operations interpret bit patterns as numbers. Logical operations interpret each bit as a logical values

More information

Open Floating Point Unit

Open Floating Point Unit Open Floating Point Unit The Free IP Cores Projects www.opencores.org Author: Rudolf Usselmann rudi@asics.ws www.asics.ws Summary: This documents describes a free single precision floating point unit.

More information

Chap. 9 Pipeline and Vector Processing

Chap. 9 Pipeline and Vector Processing 9-1 Parallel Processing = Simultaneous data processing tasks for the purpose of increasing the computational speed Perform concurrent data processing to achieve faster execution time Multiple Functional

More information

Chapter 2 Data Representations

Chapter 2 Data Representations Computer Engineering Chapter 2 Data Representations Hiroaki Kobayashi 4/21/2008 4/21/2008 1 Agenda in Chapter 2 Translation between binary numbers and decimal numbers Data Representations for Integers

More information

Floating Point Representation in Computers

Floating Point Representation in Computers Floating Point Representation in Computers Floating Point Numbers - What are they? Floating Point Representation Floating Point Operations Where Things can go wrong What are Floating Point Numbers? Any

More information

In this lesson you will learn: how to add and multiply positive binary integers how to work with signed binary numbers using two s complement how fixed and floating point numbers are used to represent

More information

Data Representations & Arithmetic Operations

Data Representations & Arithmetic Operations Data Representations & Arithmetic Operations Hiroaki Kobayashi 7/13/2011 7/13/2011 Computer Science 1 Agenda Translation between binary numbers and decimal numbers Data Representations for Integers Negative

More information

Chapter 3: Arithmetic for Computers

Chapter 3: Arithmetic for Computers Chapter 3: Arithmetic for Computers Objectives Signed and Unsigned Numbers Addition and Subtraction Multiplication and Division Floating Point Computer Architecture CS 35101-002 2 The Binary Numbering

More information

Computer Architecture and IC Design Lab. Chapter 3 Part 2 Arithmetic for Computers Floating Point

Computer Architecture and IC Design Lab. Chapter 3 Part 2 Arithmetic for Computers Floating Point Chapter 3 Part 2 Arithmetic for Computers Floating Point Floating Point Representation for non integral numbers Including very small and very large numbers 4,600,000,000 or 4.6 x 10 9 0.0000000000000000000000000166

More information

UNIT-III COMPUTER ARTHIMETIC

UNIT-III COMPUTER ARTHIMETIC UNIT-III COMPUTER ARTHIMETIC INTRODUCTION Arithmetic Instructions in digital computers manipulate data to produce results necessary for the of activity solution of computational problems. These instructions

More information

Floating-Point Data Representation and Manipulation 198:231 Introduction to Computer Organization Lecture 3

Floating-Point Data Representation and Manipulation 198:231 Introduction to Computer Organization Lecture 3 Floating-Point Data Representation and Manipulation 198:231 Introduction to Computer Organization Instructor: Nicole Hynes nicole.hynes@rutgers.edu 1 Fixed Point Numbers Fixed point number: integer part

More information

Floating Point Arithmetic. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University

Floating Point Arithmetic. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University Floating Point Arithmetic Jin-Soo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Floating Point (1) Representation for non-integral numbers Including very

More information

CS Computer Architecture. 1. Explain Carry Look Ahead adders in detail

CS Computer Architecture. 1. Explain Carry Look Ahead adders in detail 1. Explain Carry Look Ahead adders in detail A carry-look ahead adder (CLA) is a type of adder used in digital logic. A carry-look ahead adder improves speed by reducing the amount of time required to

More information

Computer Arithmetic Floating Point

Computer Arithmetic Floating Point Computer Arithmetic Floating Point Chapter 3.6 EEC7 FQ 25 About Floating Point Arithmetic Arithmetic basic operations on floating point numbers are: Add, Subtract, Multiply, Divide Transcendental operations

More information

Exponential Numbers ID1050 Quantitative & Qualitative Reasoning

Exponential Numbers ID1050 Quantitative & Qualitative Reasoning Exponential Numbers ID1050 Quantitative & Qualitative Reasoning In what ways can you have $2000? Just like fractions, you can have a number in some denomination Number Denomination Mantissa Power of 10

More information

We use the mnemonic P.E.M.D.A.S to help us remember the order of operations.

We use the mnemonic P.E.M.D.A.S to help us remember the order of operations. Section 1 4: The Order of Operations There is an agreed upon order in which the operations of exponents, multiplication, division, addition and subtraction are performed if there are several different

More information

PIPELINE AND VECTOR PROCESSING

PIPELINE AND VECTOR PROCESSING PIPELINE AND VECTOR PROCESSING PIPELINING: Pipelining is a technique of decomposing a sequential process into sub operations, with each sub process being executed in a special dedicated segment that operates

More information

Floating Point Numbers

Floating Point Numbers Floating Point Numbers Summer 8 Fractional numbers Fractional numbers fixed point Floating point numbers the IEEE 7 floating point standard Floating point operations Rounding modes CMPE Summer 8 Slides

More information

Floating-point Arithmetic. where you sum up the integer to the left of the decimal point and the fraction to the right.

Floating-point Arithmetic. where you sum up the integer to the left of the decimal point and the fraction to the right. Floating-point Arithmetic Reading: pp. 312-328 Floating-Point Representation Non-scientific floating point numbers: A non-integer can be represented as: 2 4 2 3 2 2 2 1 2 0.2-1 2-2 2-3 2-4 where you sum

More information

Chapter 2 Float Point Arithmetic. Real Numbers in Decimal Notation. Real Numbers in Decimal Notation

Chapter 2 Float Point Arithmetic. Real Numbers in Decimal Notation. Real Numbers in Decimal Notation Chapter 2 Float Point Arithmetic Topics IEEE Floating Point Standard Fractional Binary Numbers Rounding Floating Point Operations Mathematical properties Real Numbers in Decimal Notation Representation

More information

C NUMERIC FORMATS. Overview. IEEE Single-Precision Floating-point Data Format. Figure C-0. Table C-0. Listing C-0.

C NUMERIC FORMATS. Overview. IEEE Single-Precision Floating-point Data Format. Figure C-0. Table C-0. Listing C-0. C NUMERIC FORMATS Figure C-. Table C-. Listing C-. Overview The DSP supports the 32-bit single-precision floating-point data format defined in the IEEE Standard 754/854. In addition, the DSP supports an

More information

Id Question Microprocessor is the example of architecture. A Princeton B Von Neumann C Rockwell D Harvard Answer A Marks 1 Unit 1

Id Question Microprocessor is the example of architecture. A Princeton B Von Neumann C Rockwell D Harvard Answer A Marks 1 Unit 1 Question Microprocessor is the example of architecture. Princeton Von Neumann Rockwell Harvard nswer Question bus is unidirectional. ata ddress ontrol None of these nswer Question Use of isolates PU form

More information

CO212 Lecture 10: Arithmetic & Logical Unit

CO212 Lecture 10: Arithmetic & Logical Unit CO212 Lecture 10: Arithmetic & Logical Unit Shobhanjana Kalita, Dept. of CSE, Tezpur University Slides courtesy: Computer Architecture and Organization, 9 th Ed, W. Stallings Integer Representation For

More information

ECE-7 th sem. CAO-Unit 6. Pipeline and Vector Processing Dr.E V Prasad

ECE-7 th sem. CAO-Unit 6. Pipeline and Vector Processing Dr.E V Prasad ECE-7 th sem. CO-Unit 6 Pipeline and Vector Processing Dr.E V Prasad 12.10.17 Contents Parallel Processing Pipelining rithmetic Pipeline Instruction Pipeline RISC Pipeline Vector Processing rray Processors

More information

15213 Recitation 2: Floating Point

15213 Recitation 2: Floating Point 15213 Recitation 2: Floating Point 1 Introduction This handout will introduce and test your knowledge of the floating point representation of real numbers, as defined by the IEEE standard. This information

More information

Floating point. Today! IEEE Floating Point Standard! Rounding! Floating Point Operations! Mathematical properties. Next time. !

Floating point. Today! IEEE Floating Point Standard! Rounding! Floating Point Operations! Mathematical properties. Next time. ! Floating point Today! IEEE Floating Point Standard! Rounding! Floating Point Operations! Mathematical properties Next time! The machine model Chris Riesbeck, Fall 2011 Checkpoint IEEE Floating point Floating

More information

Computer Organisation CS303

Computer Organisation CS303 Computer Organisation CS303 Module Period Assignments 1 Day 1 to Day 6 1. Write a program to evaluate the arithmetic statement: X=(A-B + C * (D * E-F))/G + H*K a. Using a general register computer with

More information

3.5 Floating Point: Overview

3.5 Floating Point: Overview 3.5 Floating Point: Overview Floating point (FP) numbers Scientific notation Decimal scientific notation Binary scientific notation IEEE 754 FP Standard Floating point representation inside a computer

More information

COMPUTER ARCHITECTURE AND ORGANIZATION. Operation Add Magnitudes Subtract Magnitudes (+A) + ( B) + (A B) (B A) + (A B)

COMPUTER ARCHITECTURE AND ORGANIZATION. Operation Add Magnitudes Subtract Magnitudes (+A) + ( B) + (A B) (B A) + (A B) Computer Arithmetic Data is manipulated by using the arithmetic instructions in digital computers. Data is manipulated to produce results necessary to give solution for the computation problems. The Addition,

More information

Floating Point Representation. CS Summer 2008 Jonathan Kaldor

Floating Point Representation. CS Summer 2008 Jonathan Kaldor Floating Point Representation CS3220 - Summer 2008 Jonathan Kaldor Floating Point Numbers Infinite supply of real numbers Requires infinite space to represent certain numbers We need to be able to represent

More information

Floating Point Puzzles. Lecture 3B Floating Point. IEEE Floating Point. Fractional Binary Numbers. Topics. IEEE Standard 754

Floating Point Puzzles. Lecture 3B Floating Point. IEEE Floating Point. Fractional Binary Numbers. Topics. IEEE Standard 754 Floating Point Puzzles Topics Lecture 3B Floating Point IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties For each of the following C expressions, either: Argue that

More information

Design and Optimized Implementation of Six-Operand Single- Precision Floating-Point Addition

Design and Optimized Implementation of Six-Operand Single- Precision Floating-Point Addition 2011 International Conference on Advancements in Information Technology With workshop of ICBMG 2011 IPCSIT vol.20 (2011) (2011) IACSIT Press, Singapore Design and Optimized Implementation of Six-Operand

More information

Floating point. Today. IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Next time.

Floating point. Today. IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Next time. Floating point Today IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Next time The machine model Fabián E. Bustamante, Spring 2010 IEEE Floating point Floating point

More information

COSC 243. Data Representation 3. Lecture 3 - Data Representation 3 1. COSC 243 (Computer Architecture)

COSC 243. Data Representation 3. Lecture 3 - Data Representation 3 1. COSC 243 (Computer Architecture) COSC 243 Data Representation 3 Lecture 3 - Data Representation 3 1 Data Representation Test Material Lectures 1, 2, and 3 Tutorials 1b, 2a, and 2b During Tutorial a Next Week 12 th and 13 th March If you

More information

Floating Point January 24, 2008

Floating Point January 24, 2008 15-213 The course that gives CMU its Zip! Floating Point January 24, 2008 Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties class04.ppt 15-213, S 08 Floating

More information

Data Representation Floating Point

Data Representation Floating Point Data Representation Floating Point CSCI 2400 / ECE 3217: Computer Architecture Instructor: David Ferry Slides adapted from Bryant & O Hallaron s slides via Jason Fritts Today: Floating Point Background:

More information

Chapter Three. Arithmetic

Chapter Three. Arithmetic Chapter Three 1 Arithmetic Where we've been: Performance (seconds, cycles, instructions) Abstractions: Instruction Set Architecture Assembly Language and Machine Language What's up ahead: Implementing

More information

FPGA based High Speed Double Precision Floating Point Divider

FPGA based High Speed Double Precision Floating Point Divider FPGA based High Speed Double Precision Floating Point Divider Addanki Purna Ramesh Department of ECE, Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem, India. Dhanalakshmi Balusu Department

More information

Data Representation Floating Point

Data Representation Floating Point Data Representation Floating Point CSCI 2400 / ECE 3217: Computer Architecture Instructor: David Ferry Slides adapted from Bryant & O Hallaron s slides via Jason Fritts Today: Floating Point Background:

More information

CS429: Computer Organization and Architecture

CS429: Computer Organization and Architecture CS429: Computer Organization and Architecture Dr. Bill Young Department of Computer Sciences University of Texas at Austin Last updated: September 18, 2017 at 12:48 CS429 Slideset 4: 1 Topics of this Slideset

More information

Floating Point Puzzles The course that gives CMU its Zip! Floating Point Jan 22, IEEE Floating Point. Fractional Binary Numbers.

Floating Point Puzzles The course that gives CMU its Zip! Floating Point Jan 22, IEEE Floating Point. Fractional Binary Numbers. class04.ppt 15-213 The course that gives CMU its Zip! Topics Floating Point Jan 22, 2004 IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Floating Point Puzzles For

More information

4 Operations On Data 4.1. Foundations of Computer Science Cengage Learning

4 Operations On Data 4.1. Foundations of Computer Science Cengage Learning 4 Operations On Data 4.1 Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: List the three categories of operations performed on data.

More information

Floating Point Arithmetic

Floating Point Arithmetic Floating Point Arithmetic Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu EEE3050: Theory on Computer Architectures, Spring 2017, Jinkyu Jeong (jinkyu@skku.edu)

More information

Number Systems and Computer Arithmetic

Number Systems and Computer Arithmetic Number Systems and Computer Arithmetic Counting to four billion two fingers at a time What do all those bits mean now? bits (011011011100010...01) instruction R-format I-format... integer data number text

More information

Inf2C - Computer Systems Lecture 2 Data Representation

Inf2C - Computer Systems Lecture 2 Data Representation Inf2C - Computer Systems Lecture 2 Data Representation Boris Grot School of Informatics University of Edinburgh Last lecture Moore s law Types of computer systems Computer components Computer system stack

More information

Structure of Computer Systems

Structure of Computer Systems 288 between this new matrix and the initial collision matrix M A, because the original forbidden latencies for functional unit A still have to be considered in later initiations. Figure 5.37. State diagram

More information

1.2 Round-off Errors and Computer Arithmetic

1.2 Round-off Errors and Computer Arithmetic 1.2 Round-off Errors and Computer Arithmetic 1 In a computer model, a memory storage unit word is used to store a number. A word has only a finite number of bits. These facts imply: 1. Only a small set

More information

Real Digital Problem Set #6

Real Digital Problem Set #6 Real igital Problem et #6. (2 points) ketch a block diagram for a magnitude comparator bit-slice circuit. Create K-maps to define the bit-slice circuit, and use them to find optimal logic equations. ketch

More information

ECE 154A Introduction to. Fall 2012

ECE 154A Introduction to. Fall 2012 ECE 154A Introduction to Computer Architecture Fall 2012 Dmitri Strukov Lecture 10 Floating point review Pipelined design IEEE Floating Point Format single: 8 bits double: 11 bits single: 23 bits double:

More information

Floating Point Numbers. Lecture 9 CAP

Floating Point Numbers. Lecture 9 CAP Floating Point Numbers Lecture 9 CAP 3103 06-16-2014 Review of Numbers Computers are made to deal with numbers What can we represent in N bits? 2 N things, and no more! They could be Unsigned integers:

More information

A High Speed Binary Floating Point Multiplier Using Dadda Algorithm

A High Speed Binary Floating Point Multiplier Using Dadda Algorithm 455 A High Speed Binary Floating Point Multiplier Using Dadda Algorithm B. Jeevan, Asst. Professor, Dept. of E&IE, KITS, Warangal. jeevanbs776@gmail.com S. Narender, M.Tech (VLSI&ES), KITS, Warangal. narender.s446@gmail.com

More information

CS101 Lecture 04: Binary Arithmetic

CS101 Lecture 04: Binary Arithmetic CS101 Lecture 04: Binary Arithmetic Binary Number Addition Two s complement encoding Briefly: real number representation Aaron Stevens (azs@bu.edu) 25 January 2013 What You ll Learn Today Counting in binary

More information

COMP Overview of Tutorial #2

COMP Overview of Tutorial #2 COMP 1402 Winter 2008 Tutorial #2 Overview of Tutorial #2 Number representation basics Binary conversions Octal conversions Hexadecimal conversions Signed numbers (signed magnitude, one s and two s complement,

More information

Pipeline and Vector Processing 1. Parallel Processing SISD SIMD MISD & MIMD

Pipeline and Vector Processing 1. Parallel Processing SISD SIMD MISD & MIMD Pipeline and Vector Processing 1. Parallel Processing Parallel processing is a term used to denote a large class of techniques that are used to provide simultaneous data-processing tasks for the purpose

More information

Figurel. TEEE-754 double precision floating point format. Keywords- Double precision, Floating point, Multiplier,FPGA,IEEE-754.

Figurel. TEEE-754 double precision floating point format. Keywords- Double precision, Floating point, Multiplier,FPGA,IEEE-754. AN FPGA BASED HIGH SPEED DOUBLE PRECISION FLOATING POINT MULTIPLIER USING VERILOG N.GIRIPRASAD (1), K.MADHAVA RAO (2) VLSI System Design,Tudi Ramireddy Institute of Technology & Sciences (1) Asst.Prof.,

More information

An Efficient Implementation of Floating Point Multiplier

An Efficient Implementation of Floating Point Multiplier An Efficient Implementation of Floating Point Multiplier Mohamed Al-Ashrafy Mentor Graphics Mohamed_Samy@Mentor.com Ashraf Salem Mentor Graphics Ashraf_Salem@Mentor.com Wagdy Anis Communications and Electronics

More information

ECE232: Hardware Organization and Design

ECE232: Hardware Organization and Design ECE232: Hardware Organization and Design Lecture 11: Floating Point & Floating Point Addition Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Last time: Single Precision Format

More information

Chapter 5 : Computer Arithmetic

Chapter 5 : Computer Arithmetic Chapter 5 Computer Arithmetic Integer Representation: (Fixedpoint representation): An eight bit word can be represented the numbers from zero to 255 including = 1 = 1 11111111 = 255 In general if an nbit

More information

CSCI 402: Computer Architectures. Arithmetic for Computers (3) Fengguang Song Department of Computer & Information Science IUPUI.

CSCI 402: Computer Architectures. Arithmetic for Computers (3) Fengguang Song Department of Computer & Information Science IUPUI. CSCI 402: Computer Architectures Arithmetic for Computers (3) Fengguang Song Department of Computer & Information Science IUPUI 3.5 Today s Contents Floating point numbers: 2.5, 10.1, 100.2, etc.. How

More information

Floating Point Numbers

Floating Point Numbers Floating Point Numbers Computer Systems Organization (Spring 2016) CSCI-UA 201, Section 2 Instructor: Joanna Klukowska Slides adapted from Randal E. Bryant and David R. O Hallaron (CMU) Mohamed Zahran

More information

Floating Point Numbers

Floating Point Numbers Floating Point Numbers Computer Systems Organization (Spring 2016) CSCI-UA 201, Section 2 Fractions in Binary Instructor: Joanna Klukowska Slides adapted from Randal E. Bryant and David R. O Hallaron (CMU)

More information

Systems I. Floating Point. Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties

Systems I. Floating Point. Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Systems I Floating Point Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties IEEE Floating Point IEEE Standard 754 Established in 1985 as uniform standard for

More information

Architecture and Design of Generic IEEE-754 Based Floating Point Adder, Subtractor and Multiplier

Architecture and Design of Generic IEEE-754 Based Floating Point Adder, Subtractor and Multiplier Architecture and Design of Generic IEEE-754 Based Floating Point Adder, Subtractor and Multiplier Sahdev D. Kanjariya VLSI & Embedded Systems Design Gujarat Technological University PG School Ahmedabad,

More information

Thomas Polzer Institut für Technische Informatik

Thomas Polzer Institut für Technische Informatik Thomas Polzer tpolzer@ecs.tuwien.ac.at Institut für Technische Informatik Operations on integers Addition and subtraction Multiplication and division Dealing with overflow Floating-point real numbers VO

More information

An FPGA based Implementation of Floating-point Multiplier

An FPGA based Implementation of Floating-point Multiplier An FPGA based Implementation of Floating-point Multiplier L. Rajesh, Prashant.V. Joshi and Dr.S.S. Manvi Abstract In this paper we describe the parameterization, implementation and evaluation of floating-point

More information

Central Processing Unit

Central Processing Unit Central Processing Unit Networks and Embedded Software Module.. by Wolfgang Neff Components () lock diagram Execution Unit Control Unit Registers rithmetic logic unit DD, SU etc. NOT, ND etc. us Interface

More information

Data Representation in Computer Memory

Data Representation in Computer Memory Data Representation in Computer Memory Data Representation in Computer Memory Digital computer stores the data in the form of binary bit sequences. Binary number system has two symbols: 0 and 1, called

More information

Floating Point. CSE 351 Autumn Instructor: Justin Hsia

Floating Point. CSE 351 Autumn Instructor: Justin Hsia Floating Point CSE 351 Autumn 2016 Instructor: Justin Hsia Teaching Assistants: Chris Ma Hunter Zahn John Kaltenbach Kevin Bi Sachin Mehta Suraj Bhat Thomas Neuman Waylon Huang Xi Liu Yufang Sun http://xkcd.com/899/

More information

Computational Methods. Sources of Errors

Computational Methods. Sources of Errors Computational Methods Sources of Errors Manfred Huber 2011 1 Numerical Analysis / Scientific Computing Many problems in Science and Engineering can not be solved analytically on a computer Numeric solutions

More information

Floating Point Puzzles. Lecture 3B Floating Point. IEEE Floating Point. Fractional Binary Numbers. Topics. IEEE Standard 754

Floating Point Puzzles. Lecture 3B Floating Point. IEEE Floating Point. Fractional Binary Numbers. Topics. IEEE Standard 754 Floating Point Puzzles Topics Lecture 3B Floating Point IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties For each of the following C expressions, either: Argue that

More information

IT 1204 Section 2.0. Data Representation and Arithmetic. 2009, University of Colombo School of Computing 1

IT 1204 Section 2.0. Data Representation and Arithmetic. 2009, University of Colombo School of Computing 1 IT 1204 Section 2.0 Data Representation and Arithmetic 2009, University of Colombo School of Computing 1 What is Analog and Digital The interpretation of an analog signal would correspond to a signal whose

More information

Floating-Point Arithmetic

Floating-Point Arithmetic ENEE446---Lectures-4/10-15/08 A. Yavuz Oruç Professor, UMD, College Park Copyright 2007 A. Yavuz Oruç. All rights reserved. Floating-Point Arithmetic Integer or fixed-point arithmetic provides a complete

More information

Chapter 3 Arithmetic for Computers (Part 2)

Chapter 3 Arithmetic for Computers (Part 2) Department of Electr rical Eng ineering, Chapter 3 Arithmetic for Computers (Part 2) 王振傑 (Chen-Chieh Wang) ccwang@mail.ee.ncku.edu.tw ncku edu Depar rtment of Electr rical Eng ineering, Feng-Chia Unive

More information

INTELLIGENCE PLUS CHARACTER - THAT IS THE GOAL OF TRUE EDUCATION UNIT-I

INTELLIGENCE PLUS CHARACTER - THAT IS THE GOAL OF TRUE EDUCATION UNIT-I UNIT-I 1. List and explain the functional units of a computer with a neat diagram 2. Explain the computer levels of programming languages 3. a) Explain about instruction formats b) Evaluate the arithmetic

More information

ISSN Vol.02, Issue.11, December-2014, Pages:

ISSN Vol.02, Issue.11, December-2014, Pages: ISSN 2322-0929 Vol.02, Issue.11, December-2014, Pages:1208-1212 www.ijvdcs.org Implementation of Area Optimized Floating Point Unit using Verilog G.RAJA SEKHAR 1, M.SRIHARI 2 1 PG Scholar, Dept of ECE,

More information

The ALU consists of combinational logic. Processes all data in the CPU. ALL von Neuman machines have an ALU loop.

The ALU consists of combinational logic. Processes all data in the CPU. ALL von Neuman machines have an ALU loop. CS 320 Ch 10 Computer Arithmetic The ALU consists of combinational logic. Processes all data in the CPU. ALL von Neuman machines have an ALU loop. Signed integers are typically represented in sign-magnitude

More information

The Sign consists of a single bit. If this bit is '1', then the number is negative. If this bit is '0', then the number is positive.

The Sign consists of a single bit. If this bit is '1', then the number is negative. If this bit is '0', then the number is positive. IEEE 754 Standard - Overview Frozen Content Modified by on 13-Sep-2017 Before discussing the actual WB_FPU - Wishbone Floating Point Unit peripheral in detail, it is worth spending some time to look at

More information

Design and Implementation of IEEE-754 Decimal Floating Point Adder, Subtractor and Multiplier

Design and Implementation of IEEE-754 Decimal Floating Point Adder, Subtractor and Multiplier International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 8958, Volume-4 Issue 1, October 2014 Design and Implementation of IEEE-754 Decimal Floating Point Adder, Subtractor and Multiplier

More information

System Programming CISC 360. Floating Point September 16, 2008

System Programming CISC 360. Floating Point September 16, 2008 System Programming CISC 360 Floating Point September 16, 2008 Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties Powerpoint Lecture Notes for Computer Systems:

More information

MIPS Integer ALU Requirements

MIPS Integer ALU Requirements MIPS Integer ALU Requirements Add, AddU, Sub, SubU, AddI, AddIU: 2 s complement adder/sub with overflow detection. And, Or, Andi, Ori, Xor, Xori, Nor: Logical AND, logical OR, XOR, nor. SLTI, SLTIU (set

More information

CS 101: Computer Programming and Utilization

CS 101: Computer Programming and Utilization CS 101: Computer Programming and Utilization Jul-Nov 2017 Umesh Bellur (cs101@cse.iitb.ac.in) Lecture 3: Number Representa.ons Representing Numbers Digital Circuits can store and manipulate 0 s and 1 s.

More information

Number Systems. Decimal numbers. Binary numbers. Chapter 1 <1> 8's column. 1000's column. 2's column. 4's column

Number Systems. Decimal numbers. Binary numbers. Chapter 1 <1> 8's column. 1000's column. 2's column. 4's column 1's column 10's column 100's column 1000's column 1's column 2's column 4's column 8's column Number Systems Decimal numbers 5374 10 = Binary numbers 1101 2 = Chapter 1 1's column 10's column 100's

More information

Roundoff Errors and Computer Arithmetic

Roundoff Errors and Computer Arithmetic Jim Lambers Math 105A Summer Session I 2003-04 Lecture 2 Notes These notes correspond to Section 1.2 in the text. Roundoff Errors and Computer Arithmetic In computing the solution to any mathematical problem,

More information

Stack. Heap. Static. Code

Stack. Heap. Static. Code CS6C Virtual Wrap-Up Processor Datapath Lecture pril 9, 999 Dave Patterson (http.cs.berkeley.edu/~patterson) www-inst.eecs.berkeley.edu/~cs6c/schedule.html Outline Review Virtual Introduce Datapath Top-Down

More information

CSE 141 Computer Architecture Summer Session Lecture 3 ALU Part 2 Single Cycle CPU Part 1. Pramod V. Argade

CSE 141 Computer Architecture Summer Session Lecture 3 ALU Part 2 Single Cycle CPU Part 1. Pramod V. Argade CSE 141 Computer Architecture Summer Session 1 2004 Lecture 3 ALU Part 2 Single Cycle CPU Part 1 Pramod V. Argade Reading Assignment Announcements Chapter 5: The Processor: Datapath and Control, Sec. 5.3-5.4

More information

UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering. Digital Computer Arithmetic ECE 666

UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering. Digital Computer Arithmetic ECE 666 UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering Digital Computer Arithmetic ECE 666 Part 4-C Floating-Point Arithmetic - III Israel Koren ECE666/Koren Part.4c.1 Floating-Point Adders

More information

Double Precision Floating-Point Arithmetic on FPGAs

Double Precision Floating-Point Arithmetic on FPGAs MITSUBISHI ELECTRIC ITE VI-Lab Title: Double Precision Floating-Point Arithmetic on FPGAs Internal Reference: Publication Date: VIL04-D098 Author: S. Paschalakis, P. Lee Rev. A Dec. 2003 Reference: Paschalakis,

More information